Job Description

Join us at BigPay; leveling up, one transaction at a time.

What we do, and why we do it
The banking system is evolving to give consumers the transparency, control and financial wellbeing they deserve. In a world where technology can change how we live for the better, there is no reason to be burdened by legacy systems, bureaucracy and mediocrity. It’s time for a change, and you can be part of this revolution! BigPay is everything you wish your bank was: fair, transparent, frictionless. We went back to the drawing board to explore how new technologies could bring power back to you. Our goal is to solve real world money problems for millions of people by empowering them, and providing a simple interface for users to send, receive and track their money.

Life at BigPay
We’re fast, curious and ambitious. We are on a fearless adventure to change financial services for consumers, and we value ownership, initiative and leadership from everyone in the company. We’re going out of our way to recruit the most intelligent, creative and talented people in the world. We want innovators, and that means maintaining an environment where they can flourish. Our only boss is the consumer. BigPay values highly collaborative, hardworking people, who can deconstruct problems on the fly and take the team with them, while being inventive, iterative and agile. We never want to reach a stage where you are not challenged on a daily basis – because it means we’re not going fast enough.

We’re looking for

A dynamic, proactive data scientist who has a passion to work with structured and unstructured data, and is always ready to push boundaries and explore further. Your eagerness to learn and explore coupled with our mission to financially empower customers across the region will enable BigPay to build the future of finance through technology and become a financial services company. This is a fast-paced role in a somewhat ambiguous and ever-changing environment, so the ability to be flexible is key to success.

About the job

A critical hire for our Data and AI Technology team, you will work closely with the Head of Risk to develop data based rules and AI models to support the growth of our lending and other businesses.

Your tasks will be to:

• Create a data framework to support the lending business, eventually expanding to other businesses.

• Work with large volumes of structured and unstructured data.

• Develop predictive AI models to predict default and fraud risk and more.

• Handle Audit queries on matters related to handling lending data and AI models. 

• Deliver periodic reports to management risk committees and regulators.

To be successful

• Have a Degree in Statistics/Engineering/Analytics or similar from a University

• At least 2-5 years of experience in working with data or statistical models

• Ability to program with Python and SQL ( R is beneficial )

• Experience with linux and shell scripting

• Experience writing production software

• Familiar with concepts such as Linear/Logistics Regression, GBM, Random Forests etc

• Familiar with local regulations on banking and finance would be a plus.

• Ability to work in a fast-paced evolving environment.

Experience with the following is also beneficial:

• Analysis of large datasets

• BigQuery and PostgreSQL

• Apache Airflow and Apache Beam

• Pandas and DBT

• Git and Docker